Artificial intelligence and quantum cryptography

The technological advancements made in recent times, particularly in artificial intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to...

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Main Author: Radanliev, P
Format: Journal article
Language:English
Published: Springer Nature 2024
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author Radanliev, P
author_facet Radanliev, P
author_sort Radanliev, P
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description The technological advancements made in recent times, particularly in artificial intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the ‘quantum threat’. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
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spelling oxford-uuid:fd8edad7-81df-4428-a062-3107349a794e2024-05-22T09:48:01ZArtificial intelligence and quantum cryptographyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:fd8edad7-81df-4428-a062-3107349a794eEnglishSymplectic ElementsSpringer Nature2024Radanliev, PThe technological advancements made in recent times, particularly in artificial intelligence (AI) and quantum computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the ‘quantum threat’. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
spellingShingle Radanliev, P
Artificial intelligence and quantum cryptography
title Artificial intelligence and quantum cryptography
title_full Artificial intelligence and quantum cryptography
title_fullStr Artificial intelligence and quantum cryptography
title_full_unstemmed Artificial intelligence and quantum cryptography
title_short Artificial intelligence and quantum cryptography
title_sort artificial intelligence and quantum cryptography
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